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After analyzing your code thoroughly I understood that the Autoencoders have extracted the high-level features that act as input to the fully connected layers. Both of the autoencoders have extracted 64 feathers of the drugs and proteins. However, you have read a train and a test file containing the concatenation of the 64 features of each autoencoder. Thus NN input size is 128. Unfortunately, I could not understand how the file is created. In other words, how the features are extracted from the encoder's output and concatenated. Please help me to understand this.
The text was updated successfully, but these errors were encountered:
After analyzing your code thoroughly I understood that the Autoencoders have extracted the high-level features that act as input to the fully connected layers. Both of the autoencoders have extracted 64 feathers of the drugs and proteins. However, you have read a train and a test file containing the concatenation of the 64 features of each autoencoder. Thus NN input size is 128. Unfortunately, I could not understand how the file is created. In other words, how the features are extracted from the encoder's output and concatenated. Please help me to understand this.
The text was updated successfully, but these errors were encountered: